Patient-specific protein aggregates in myofibrillar myopathies: laser microdissection and differential proteomics for

Sarah Feldkirchner1, Joachim Schessl, Stefan Müller

  • 1Department of Neurology, Friedrich-Baur-Institute, Ludwig-Maximilians-University, Munich, Germany.

Proteomics
|October 10, 2012
PubMed

Insights

Myofibrillar myopathies (MFMs) involve protein aggregates. This study used proteomics to identify specific protein compositions within these aggregates, revealing mutation-dependent differences in patients with MFMs.

Area of Science:

  • Muscle Diseases
  • Proteomics
  • Molecular Biology

Background:

  • Myofibrillar myopathies (MFMs) are characterized by protein aggregates and myofibrillar degeneration.
  • While some MFMs have known genetic causes, many remain genetically unresolved.
  • Understanding the protein composition of aggregates is key to diagnosing and treating MFMs.

Purpose of the Study:

  • To proteomically characterize pathological protein aggregates in skeletal muscle biopsies from MFM patients.
  • To differentiate between genuine aggregate components and contaminating proteins.
  • To identify mutation-dependent protein compositions in MFM aggregates.

Main Methods:

  • Laser dissection microscopy to isolate plaque and plaque-free tissue.
  • Filter-aided sample preparation and iTRAQ-labeling for quantitative proteomics.
  • Offline nano-LC and MALDI-TOF-TOF MS/MS for peptide analysis and protein identification.

Main Results:

  • Differential proteomics identified distinct sets of proteins in aggregates based on MFM-causing mutations.
  • Proteins identified included αB-crystallin, desmin, filamin A/C, myotilin, FHL1, and SQSTM, among others.
  • Aggregate protein composition showed partial overlap but also significant mutation-specific differences, validated by immunohistochemistry for FHL1 mutations.

Conclusions:

  • MFM protein aggregates have partially overlapping yet mutation-dependent compositions.
  • Proteomic analysis provides a deeper understanding of MFM pathogenesis.
  • This approach aids in distinguishing genuine aggregate components and can inform future diagnostic strategies.

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